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Data reporting standards: making the things we use better.
Genome Med
November 2009
Department of Biostatisics and Computational Biology and Department of Cancer Biology, Dana-Farber Cancer Institute and Department of Biostatisics 44 Binney Street, Sm822, Boston, MA 02115, USA.
Genomic data often persist far beyond the initial study in which they were generated. But the true value of the data is tied to their being both used and useful, and the usefulness of the data relies intimately on how well annotated they are. While standards such as MIAME have been in existence for nearly a decade, we cannot think that the problem is solved or that we can ignore the need to develop better, more effective methods for capturing the essence of the meta-data that is ultimately required to guarantee utility of the data.
View Article and Find Full Text PDFGene expression profiling: methodological challenges, results, and prospects for addiction research.
Chem Phys Lipids
December 2002
Genetics and Molecular Neurobiology Research Branch, National Institute on Drug Abuse, 6001 Executive Blvd, Rockville, MD 20850, USA.
This review describes the current methods used to profile gene expression. These methods include microarrays, spotted arrays, serial analysis of gene expression (SAGE), and massive parallel signature sequencing (MPSS). Methodological and statistical problems in interpreting microarray and spotted array experiments are also discussed.
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